摘要
为了提高金融专业学生的全面发展能力,研究提出将思政理念融入税法课程中,并构建融合闪电搜索算法和支持向量机的课程评价模型对新型税法课程进行评价。对研究提出的融合算法进行性能测试,结果显示,该算法的分类准确率为93%,优于对比算法。随后在课程评价模型的实证分析中发现,在利用研究提出的评价模型对新型税法课程进行改进后,学生学习效率评分最终为92分,远高于改进前。结果说明,研究提出的新型税法课程的实际应用效果较优,为税法课程改革提供了数据支持。
In order to improve financial students' comprehensive ability,the study proposes to integrate ideological and political concepts into tax law courses,and constructs a course evaluation model that integrates lightning search algorithm and support vector machine to evaluate the new tax law course.The performance test of the proposed fusion algorithm shows that the classification accuracy of the proposed algorithm is 98.3%,which is superior to the comparison algorithm.In the empirical analysis of the course evaluation model,it is found that after using the evaluation model proposed in the study to improve the new tax law course,the student learning efficiency score reaches 92 points,much higher than before.The above results indicate that the practical application effect of the proposed new tax law course is relatively good.This provides data support for the reform of tax law courses.
作者
罗忠青
刘坤新
LUO Zhong-qing;LIU Kun-xin(School of Economics and management,Tongren University,Tongren Guizhou,554300,China;School of Marxism,Tongren University,Tongren Guizhou 554300,China)
出处
《湖北第二师范学院学报》
2024年第6期23-29,共7页
Journal of Hubei University of Education
基金
2023年度贵州省理论创新课题(联合课题)“规范财富积累机制与共同富裕的内在逻辑与实践要求研究”(GZLCLH-2023-114)
2020年度铜仁学院教学内容和课程体系改革项目“以就业为导向的地方高校会计专业综合模拟实训体系研究——以铜仁学院为例”(No.16)。
关键词
思政理念
税法课程
闪电搜索算法
支持向量机
评价模型
ideological and political concepts
tax law courses
lightning search algorithm
support vector machine
evaluation model
